Verfügbarkeit: Complete Web Monitoring | Technische Universität München

Complete Web Monitoring: [watching your visitors, performance, communities & competitors]

Gespeichert in:

Bibliographische Detailangaben
Beteiligte Personen:	Croll, Alistair (VerfasserIn), Power, Sean (VerfasserIn)
Format:	Buch
Sprache:	Englisch
Veröffentlicht:	Sebastopol, Calif. O'Reilly 2009
Ausgabe:	1. ed.
Schlagwörter:	Monitoring > Informatik Website
Links:	http://deposit.dnb.de/cgi-bin/dokserv?id=3281250&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018619072&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Umfang:	XXVI, 634 S. Ill., graph. Darst.
ISBN:	9780596155131

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Datensatz im Suchindex

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adam_text	COMPLETE WEB MONITORING ALISTAIR CROLL AND SEAN POWER O REILLY 8 BEIJING * CAMBRIDGE * FARNHAM * KOELN * SEBASTOPOL * TAIPEI * TOKYO TABLE OF CONTENTS PREFACE XIX PARTI. THE BUSINESS OF WEB MONITORING 1. WHY WATCH WEBSITES? 3 A FRAGMENTED VIEW 4 OUT WITH THE OLD, IN WITH THE NEW 4 A NOTE ON PRIVACY: TRACKING PEOPLE 5 2. WHAT BUSINESS ARE YOU IN? 7 MEDIA SITES 8 BUSINESS MODEL 8 TRANSACTIONAL SITES 9 BUSINESS MODEL 10 COLLABORATION SITES 11 BUSINESS MODEL 11 SOFTWARE-AS-A-SERVICE APPLICATIONS 13 BUSINESS MODEL 13 3. WHAT COULD WE WATCH? 15 HOW MUCH DID VISITORS BENEFIT MY BUSINESS? 15 CONVERSION AND ABANDONMENT 16 CLICK-THROUGHS 16 OFFLINE ACTIVITY 17 USER-GENERATED CONTENT 19 SUBSCRIPTIONS 20 BILLING AND ACCOUNT USE 21 WHERE IS MY TRAFFIC COMING FROM? 21 REFERRING WEBSITES 22 INBOUND LINKS FROM SOCIAL NETWORKS 22 VISITOR MOTIVATION 24 VII WHAT S WORKING BEST (AND WORST) ? 24 SITE EFFECTIVENESS 24 AD AND CAMPAIGN EFFECTIVENESS 25 FINDABILITY AND SEARCH EFFECTIVENESS 25 TROUBLE TICKETING AND ESCALATION 26 CONTENT POPULARITY 26 USABILITY 27 USER PRODUCTIVITY 27 COMMUNITY RANKINGS AND REWARDS 28 HOW GOOD IS MY RELATIONSHIP WITH MY VISITORS? 28 LOYALTY 28 ENROLLMENT 29 REACH 29 HOW HEALTHY IS MY INFRASTRUCTURE? 29 AVAILABILITY AND PERFORMANCE 30 SERVICE LEVEL AGREEMENT COMPLIANCE 31 CONTENT DELIVERY 32 CAPACITY AND FLASH TRAFFIC: WHEN DIGG AND TWITTER COME TO VISIT 33 IMPACT OF PERFORMANCE ON OUTCOMES 35 TRAFFIC SPIKES FROM MARKETING EFFORTS 36 SEASONAL USAGE PATTERNS 37 HOW AM I DOING AGAINST THE COMPETITION? 38 SITE POPULARITY AND RANKING 38 HOW PEOPLE ARE FINDING MY COMPETITORS 40 RELATIVE SITE PERFORMANCE 41 COMPETITOR ACTIVITY 42 WHERE ARE MY RISKS? 42 TROLLING AND SPAMMING 42 COPYRIGHT AND LEGAL LIABILITY 45 FRAUD, PRIVACY, AND ACCOUNT SHARING 45 WHAT ARE PEOPLE SAYING ABOUT ME? 46 SITE REPUTATION 47 TRENDS 47 SOCIAL NETWORK ACTIVITY 48 HOW ARE MY SITE AND CONTENT BEING USED ELSEWHERE? 48 API ACCESS AND USAGE 49 MASHUPS, STOLEN CONTENT, AND ILLEGAL SYNDICATION 49 INTEGRATION WITH LEGACY SYSTEMS 51 THE TOOLS AT OUR DISPOSAL 51 COLLECTION TOOLS 51 SEARCH SYSTEMS 52 TESTING SERVICES 52 VIII \| TABLE OF CONTENTS 4. THE FOUR BIG QUESTIONS 53 WHAT DID THEY DO? 53 HOW DID THEY DO IT? 54 WHY DID THEY DO IT? 55 COULD THEY DO IT? 55 PUTTING IT ALL TOGETHER 56 ANALYZING DATA PROPERLY 57 ALWAYS COMPARE 57 SEGMENT EVERYTHING 57 DON T SETTLE FOR AVERAGES 58 A COMPLETE WEB MONITORING MATURITY MODEL 59 LEVEL 1: TECHNICAL DETAILS 60 LEVEL 2: MINDING YOUR OWN HOUSE 60 LEVEL 3: ENGAGING THE INTERNET 60 LEVEL 4: BUILDING RELATIONSHIPS 61 LEVEL 5: WEB BUSINESS STRATEGY 62 THE WATCHING WEBSITES MATURITY MODEL 62 PART II. WEB ANALYTICS, USABILITY, AND THE VOICE OF THE CUSTOMER 5. WHAT DID THEY DO?: WEB ANALYTICS 67 DEALING WITH POPULARITY AND DISTANCE 68 THE CORE OF WEB VISIBILITY 69 A QUICK HISTORY OF ANALYTICS 69 FROM IT TO MARKETING 71 FROM HITS TO PAGES: TRACKING REACH 73 FROM PAGES TO VISITS: THE RISE OF THE COOKIE 74 FROM VISITS TO OUTCOMES: TRACKING GOALS 78 FROM TECHNOLOGY TO MEANING: TAGGING CONTENT 80 AN INTEGRATED VIEW 84 PLACES AND TASKS 86 THE THREE STAGES OF ANALYTICS 89 FINDING THE SITE: THE LONG FUNNEL 90 USING THE SITE: TRACKING YOUR VISITORS 100 LEAVING THE SITE: PARTING IS SUCH SWEET SORROW 106 DESIRABLE OUTCOMES 108 IMPLEMENTING WEB ANALYTICS 111 DEFINE YOUR SITE S GOALS 112 SET UP DATA CAPTURE 114 SET UP FILTERS 129 IDENTIFY SEGMENTS YOU WANT TO ANALYZE 130 TAG YOUR PAGES TO GIVE THEM MEANING 131 TABLE OF CONTENTS \| IX CAMPAIGN INTEGRATION 134 GO LIVE AND VERIFY EVERYTHING 136 SHARING ANALYTICS DATA 139 REPEAT CONSISTENTLY 140 START EXPERIMENTING 141 CHOOSING AN ANALYTICS PLATFORM 144 FREE VERSUS PAID 145 REAL-TIME VERSUS TRENDING 145 HOSTED VERSUS IN-HOUSE 146 DATA PORTABILITY 146 THE UP-FRONT WORK 146 WHAT YOU GET FOR FREE 147 WHAT YOU GET WITH A BIT OF WORK 147 WHAT YOU GET WITH A BIT MORE WORK 147 WHAT YOU GET WITH A LOT OF WORK 147 WEB ANALYTICS MATURITY MODEL 147 6. HOW DID THEY DO IT?: MONITORING WEB USABILITY 149 WEB DESIGN IS A HYPOTHESIS 149 FOUR KINDS OF INTERACTION 150 SEEING THE CONTENT: SCROLLING BEHAVIOR 151 SCROLLING AS A METRIC OF VISIBILITY 152 PROPER INTERACTIONS: CLICK HEATMAPS 154 USABILITY AND AFFORDANCE 156 ANALYZING MOUSE INTERACTIONS 158 DATA INPUT AND ABANDONMENT: FORM ANALYSIS 160 INDIVIDUAL VISITS: REPLAY 163 STALKING EFFICIENTLY: WHAT YOU REPLAY DEPENDS ON THE PROBLEM YOU RE SOLVING 164 RETROACTIVE SEGMENTATION: ANSWERING WHAT IF? 172 IMPLEMENTING WIA 173 KNOWING YOUR DESIGN ASSUMPTIONS 174 DECIDING WHAT TO CAPTURE 175 INSTRUMENTING AND COLLECTING INTERACTIONS 175 ISSUES AND CONCERNS 181 WHAT IF THE PAGE CHANGES? 181 VISITOR ACTIONS WIA CAN T SEE 182 DYNAMIC NAMING AND PAGE CONTEXT 182 BROWSER RENDERING ISSUES 183 DIFFERENT CLICKS HAVE DIFFERENT MEANINGS 183 THE IMPACT OF WIA CAPTURE ON PERFORMANCE 184 PLAYBACK, PAGE NEUTERING, AND PLUG-IN COMPONENTS 184 PRIVACY 185 X \| TABLE OF CONTENTS WEB INTERACTION ANALYTICS MATURITY MODEL 188 7. WHY DID THEY DO IT?: VOICE OF THE CUSTOMER 189 THE TRAVEL INDUSTRY S DILEMMA 190 THEY AREN T DOING WHAT YOU THINK THEY ARE 191 WHAT VOC IS 192 INSIGHT AND CLUES 194 SUBJECTIVE SCORING 195 DEMOGRAPHICS 195 SURFOGRAPHICS 196 COLLECTION OF VISIT MECHANICS UNAVAILABLE ELSEWHERE 198 WHAT VOC ISN T 199 IT S NOT A SUBSTITUTE FOR OTHER FORMS OF COLLECTION 199 IT S NOT REPRESENTATIVE OF YOUR USER BASE 199 IT S NOT AN ALTERNATIVE TO A COMMUNITY 200 IT S NOT A SUBSTITUTE FOR ENROLLMENT 200 FOUR WAYS TO UNDERSTAND USERS 200 KICKING OFF A VOC PROGRAM 202 PLANNING THE STUDY 202 THE KINDS OF QUESTIONS TO ASK 204 DESIGNING THE STUDY S NAVIGATION 207 WHY SURVEYS FAIL 208 INTEGRATING VO * INTO YOUR WEBSITE 214 TRYING THE STUDY 215 CHOOSING RESPONDENTS 216 DECIDING WHO TO ASK 222 PRIVATE PANELS 223 DISQUALIFYING CERTAIN VISITOR TYPES 224 ENCOURAGING PARTICIPATION 224 GETTING GREAT RESPONSE RATES 224 SETTING EXPECTATIONS 229 PERMISSION TO FOLLOW UP 229 IMPROVING YOUR RESULTS 230 ANALYZING THE DATA 232 INTEGRATING VOC DATA WITH OTHER ANALYTICS 239 ADVANTAGES, CONCERNS, AND CAVEATS 241 LEARNING WHAT TO TRY NEXT 241 BECOMING LESS ABOUT UNDERSTANDING, MORE ABOUT EVALUATING EFFEC TIVENESS 241 YOU MAY HAVE TO ASK REDUNDANT QUESTIONS 242 VOICE OF THE CUSTOMER MATURITY MODEL 242 TABLE OF CONTENTS \| XI PART III. WEB PERFORMANCE AND END USER EXPERIENCE COULD THEY DO IT?: END USER EXPERIENCE MANAGEMENT 245 WHAT S USER EXPERIENCE? WHAT S NOT? 246 ITIL AND APDEX: IT BEST PRACTICES 246 WHY CARE ABOUT PERFORMANCE AND AVAILABILITY? 248 THINGS THAT AFFECT END USER EXPERIENCE 252 THE ANATOMY OF A WEB SESSION 254 FINDING THE DESTINATION 256 ESTABLISHING A CONNECTION 257 SECURING THE CONNECTION 262 RETRIEVING AN OBJECT 262 GETTING A PAGE 267 GETTING A SERIES OF PAGES 272 WRINKLES: WHY IT S NOT ALWAYS THAT EASY 272 DNS LATENCY 272 MULTIPLE POSSIBLE SOURCES 274 SLOW NETWORKS 276 FIDDLING WITH THINGS: THE LOAD BALANCER 284 SERVER ISSUES 286 CLIENT ISSUES 292 OTHER FACTORS 297 BROWSER ADD-ONS ARE THE NEW CLIENTS 297 TIMING USER EXPERIENCE WITH BROWSER EVENTS 299 NONSTANDARD WEB TRAFFIC 300 A TABLE OF EUEM PROBLEMS 303 MEASURING BY HAND: DEVELOPER TOOLS 304 NETWORK PROBLEMS: SNIFFING THE WIRE 304 APPLICATION PROBLEMS: LOOKING AT THE DESKTOP 305 INTERNET PROBLEMS: TESTING FROM ELSEWHERE 306 PLACES AND TASKS IN USER EXPERIENCE 311 PLACE PERFORMANCE: UPDATING THE CONTAINER 311 TASK PERFORMANCE: MOVING TO THE NEXT STEP 312 CONCLUSIONS 312 COULD THEY DO IT?: SYNTHETIC MONITORING 315 MONITORING INSIDE THE NETWORK 315 USING THE LOAD BALANCER TO TEST 316 MONITORING FROM OUTSIDE THE NETWORK 317 A CAUTIONARY TALE 317 WHATCANGOWRONG? 318 WHY USE A SERVICE? 319 XII \| TABLE OF CONTENTS DIFFERENT TESTS FOR DIFFERENT TIERS 321 TESTING DNS 321 GETTING THERE FROM HERE: TRACEROUTE 321 TESTING NETWORK CONNECTIVITY: PING 322 ASKING FOR A SINGLE OBJECT: HTTP GETS 324 BEYOND STATUS CODES: EXAMINING THE RESPONSE 324 PARSING DYNAMIC CONTENT 325 BEYOND A SIMPLE GET: COMPOUND TESTING 328 GETTING THE WHOLE PICTURE: PAGE TESTING 328 MONITORING A PROCESS: TRANSACTION TESTING 330 DATA COLLECTION: PAGES OR OBJECTS? 333 IS THAT A REAL BROWSER OR JUST A SCRIPT? 334 CONFIGURING SYNTHETIC TESTS 336 TEST COUNT: HOW MUCH IS TOO MUCH? 337 TEST INTERVAL: HOW FREQUENTLY SHOULD YOU TEST? 337 CLIENT VARIETY: HOW SHOULD I MIMIC MY USERS? 338 GEOGRAPHIC DISTRIBUTION: FROM WHERE SHOULD YOU TEST? 340 PUTTING IT ALL TOGETHER 342 SETTING UP THE TESTS 343 SETTING UP ALERTS 343 AGGREGATION AND VISUALIZATION 346 ADVANTAGES, CONCERNS, AND CAVEATS 348 NO CONCEPT OF LOAD 348 MUDDYING THE ANALYTICS 349 CHECKING UP ON YOUR CONTENT DELIVERY NETWORKS 349 RICH INTERNET APPLICATIONS 349 SITE UPDATES KILL YOUR TESTS 350 GENERATING EXCESSIVE TRAFFIC 350 DATA EXPORTABILITY 350 COMPETITIVE BENCHMARKING 351 TESTS DON T REFLECT ACTUAL USER EXPERIENCE 351 SYNTHETIC MONITORING MATURITY MODEL 351 10. COULD THEY DO IT?: REAL USER MONITORING 353 RUM AND SYNTHETIC TESTING SIDE BY SIDE 355 HOW WE USE RUM 356 PROVING THAT YOU MET SLA TARGETS 356 SUPPORTING USERS AND RESOLVING DISPUTES 357 FIRST-CAUSE ANALYSIS 357 HELPING TO CONFIGURE SYNTHETIC TESTS 358 AS CONTENT FOR QA IN NEW TESTS 358 CAPTURING END USER EXPERIENCE 358 HOW RUM WORKS 359 TABLE OF CONTENTS I XIII SERVER-SIDE CAPTURE: PUTTING THE PIECES TOGETHER 360 CLIENT-SIDE CAPTURE: RECORDING MILESTONES 360 WHAT WE RECORD ABOUT A PAGE 361 DECIDING HOW TO COLLECT RUM DATA 367 SERVER LOGGING 368 REVERSE PROXIES 369 INLINE (SNIFFERS AND PASSIVE ANALYSIS) 370 AGENT-BASED CAPTURE 373 JAVASCRIPT 374 JAVASCRIPT AND EPISODES 377 RUM REPORTING: INDIVIDUAL AND AGGREGATE VIEWS 380 RUM CONCERNS AND TRENDS 381 COOKIE ENCRYPTION AND SESSION REASSEMBLY 381 PRIVACY 381 RIA INTEGRATION 382 STORAGE ISSUES 382 EXPORTABILITY AND PORTABILITY 383 DATA WAREHOUSING 385 NETWORK TOPOLOGIES AND THE OPACITY OF THE LOAD BALANCER 385 REAL USER MONITORING MATURITY MODEL 385 PART IV. ONLINE COMMUNITIES, INTERNAL COMMUNITIES, AND COMPETITORS 11. WHAT DID THEY SAY?: ONLINE COMMUNITIES 389 NEW WAYS TO INTERACT 389 CONSUMER TECHNOLOGY 389 VOCAL MARKETS 390 WHERE COMMUNITIES COME FROM 391 DIGITAL INTERACTIONS 391 MAKING IT EASY FOR EVERYONE 393 ONLINE COMMUNITIES ON THE WEB 394 DECIDING WHAT MATTERED 394 EMAIL FOR EVERYONE, EVERYWHERE 396 INSTANT GRATIFICATION 396 EVERYONE S A PUBLISHER 398 MICROBLOGGING TELLS THE WORLD WHAT WE RE THINKING 399 12. WHY CARE ABOUT COMMUNITIES? 405 THE MOUTH OF THE LONG FUNNEL 406 A NEW KIND OF PR 407 BROADCAST MARKETING COMMUNICATIONS 407 ONLINE MARKETING COMMUNICATIONS 410 XIV \| TABLE OF CONTENTS VIRAL MARKETING: PUMP UP THE VOLUME 411 COMMUNITY MARKETING: IMPROVING THE SIGNAL 417 SUPPORT COMMUNITIES: HELP THOSE WHO HELP THEMSELVES 420 WHAT MAKES A GOOD SUPPORT COMMUNITY? 421 RISK AVOIDANCE: WATCHING WHAT THE INTERNET THINKS 423 BUSINESS AGILITY: ITERATIVE IMPROVEMENTS 424 A CLIMATE OF FASTER CHANGE 424 GETTING LEADS: REFERRAL COMMUNITIES 426 13. THE ANATOMY OF A CONVERSATION 429 THE PARTICIPANTS: WHO S TALKING? 429 INTERNAL COMMUNITY ADVOCATES 429 EXTERNAL COMMUNITY MEMBERS 432 THE TOPICS: WHAT ARE THEY TALKING ABOUT? 438 THE PLACES: WHERE ARE THEY TALKING? 448 DIFFERENT COMMUNITY MODELS 449 USER GROUPS, NEWSGROUPS, AND MAILING LISTS 451 FORUMS 455 REAL-TIME COMMUNICATION TOOLS 456 SOCIAL NETWORKS 459 BLOGS 464 WIKIS 465 MICROMESSAGING 468 SOCIAL NEWS AGGREGATORS 474 COMBINED PLATFORMS 476 WHY BE EVERYWHERE? 476 MONITORING COMMUNITIES 477 14. TRACKING AND RESPONDING 479 SEARCHING A COMMUNITY 481 SEARCHING GROUPS AND MAILING LISTS 482 SEARCHING FORUMS 485 SEARCHING REAL-TIME CHAT SYSTEMS 487 SEARCHING SOCIAL NETWORKS 487 SEARCHING BLOGS 490 SEARCHING WIKIS 490 SEARCHING MICRO MESSAGING TOOLS 491 SEARCHING SOCIAL NEWS AGGREGATORS 493 CROSS-PLATFORM SEARCHING 495 JOINING A COMMUNITY 495 JOINING GROUPS AND MAILING LISTS 497 JOINING FORUMS 497 JOINING REAL-TIME CHAT SYSTEMS 498 TABLE OF CONTENTS \| JOINING SOCIAL NETWORKS 498 JOINING BLOGS 499 JOINING WIKIS 500 JOINING MICROMESSAGING TOOLS 501 JOINING SOCIAL NEWS AGGREGATORS 501 MODERATING A COMMUNITY 501 MODERATING GROUPS AND MAILING LISTS 502 MODERATING FORUMS 502 MODERATING REAL-TIME CHAT SYSTEMS 503 MODERATING SOCIAL NETWORKS 504 MODERATING BLOGS 504 MODERATING WIKIS 505 MODERATING MICROMESSAGING TOOLS 505 MODERATING SOCIAL NEWS AGGREGATORS 505 RUNNING A COMMUNITY 506 RUNNING GROUPS AND MAILING LISTS 507 RUNNING FORUMS 507 RUNNING REAL-TIME CHAT SYSTEMS 507 RUNNING SOCIAL NETWORKS 509 RUNNING BLOGS 510 RUNNINGWIKIS 510 RUNNING MICROMESSAGING TOOLS 513 RUNNING SOCIAL NEWS AGGREGATORS 513 PUTTING IT ALL TOGETHER 514 MEASURING COMMUNITIES AND OUTCOMES 515 SINGLE IMPRESSION 515 READ CONTENT 516 USED THE SITE 516 RETURNING 516 ENROLLED 517 ENGAGED 518 SPREADING 518 CONVERTED 518 REPORTING THE DATA 518 WHAT S IN A COMMUNITY REPORT? 519 THE MECHANICS OF TRACKING THE LONG FUNNEL 520 RESPONDING TO THE COMMUNITY 527 JOIN THE CONVERSATION 528 AMPLIFY THE CONVERSATION 530 MAKE THE CONVERSATION PERSONAL 530 COMMUNITY LISTENING PLATFORMS 530 HOW LISTENING TOOLS FIND THE CONVERSATIONS 532 HOW TOOLS AGGREGATE THE CONTENT 532 XVI \| TABLE OF CONTENTS HOW TOOLS MANAGE THE RESPONSE COMMUNITY MONITORING MATURITY MODEL 537 538 15. INTERNALLY FOCUSED COMMUNITIES 539 KNOWLEDGE MANAGEMENT STRATEGIES 540 INTERNAL COMMUNITY PLATFORM EXAMPLES 541 CHAT 541 SOCIAL NETWORKS 542 WIKIS 544 MICROMESSAGING TOOLS 544 SOCIAL NEWS AGGREGATORS 545 THE INTERNAL COMMUNITY MONITORING MATURITY MODEL 546 16. WHAT ARE THEY PLOTTING?: WATCHING YOUR COMPETITORS 547 WATCHING COMPETITORS SITES 549 DO I HAVE COMPETITORS I DON T KNOW ABOUT? 549 ARE THEY GETTING MORE TRAFFIC? 550 DO THEY HAVE A BETTER REPUTATION? 552 PAGERANK 553 SEO RANKING 553 TECHNORATI 555 ARE THEIR SITES HEALTHIER THAN MINE? 555 IS THEIR MARKETING AND BRANDING WORKING BETTER? 556 ARE THEIR SITES EASIER TO USE OR BETTER DESIGNED? 558 HAVE THEY MADE CHANGES I CAN USE? 558 PREPARING A COMPETITIVE REPORT 559 WHAT S IN A WEEKLY COMPETITIVE REPORT 559 COMMUNICATING COMPETITIVE INFORMATION 559 COMPETITIVE MONITORING MATURITY MODEL 560 PARTV. PUTTING IT ALL TOGETHER 17. PUTTING IT ALL TOGETHER 563 SIMPLIFY, SIMPLIFY, SIMPLIFY 563 DRILL DOWN AND DRILL UP 564 VISUALIZATION 564 SEGMENTATION 565 EFFICIENT ALERTING 565 GETTING IT ALL IN THE SAME PLACE 565 UNIFIED PROVIDER 566 DATA WAREHOUSE 566 THE SINGLE PANE OF GLASS: MASHUPS 570 TABLE OF CONTENTS \| XVII ALERTING SYSTEMS 577 TYING TOGETHER OFFSITE AND ONSITE DATA 578 VISITOR SELF-IDENTIFICATION 578 USING SHARED KEYS 579 18. WHAT S NEXT?: THE FUTURE OF WEB MONITORING 581 ACCOUNTING AND OPTIMIZATION 582 FROM VISITS TO VISITORS 582 PERSONAL IDENTITY IS CREDIBILITY 585 FROM PAGES TO PLACES AND TASKS 585 MOBILITY 586 BLURRING OFFLINE AND ONLINE ANALYTICS 586 STANDARDIZATION 586 AGENCIES VERSUS INDIVIDUALS 587 MONETIZING ANALYTICS 588 CARRIERS 588 SEARCH ENGINES 589 URL SHORTENERS 589 SOCIAL NETWORKS 589 SAAS PROVIDERS 591 A HOLISTIC VIEW 591 THE MOVE TO A LONG FUNNEL 592 A COMPLETE MATURITY MODEL 593 A COMPLETE PERSPECTIVE 596 THE UNFINISHED ENDING 597 APPENDIX: KPISFORTHE FOUR TYPES OF SITE 599 INDEX 617 XVIII \| TABLE OF CONTENTS
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spellingShingle	Croll, Alistair Power, Sean Complete Web Monitoring [watching your visitors, performance, communities & competitors] Monitoring Informatik (DE-588)4522632-5 gnd Website (DE-588)4596172-4 gnd
subject_GND	(DE-588)4522632-5 (DE-588)4596172-4
title	Complete Web Monitoring [watching your visitors, performance, communities & competitors]
title_auth	Complete Web Monitoring [watching your visitors, performance, communities & competitors]
title_exact_search	Complete Web Monitoring [watching your visitors, performance, communities & competitors]
title_full	Complete Web Monitoring [watching your visitors, performance, communities & competitors] Alistair Croll and Sean Power
title_fullStr	Complete Web Monitoring [watching your visitors, performance, communities & competitors] Alistair Croll and Sean Power
title_full_unstemmed	Complete Web Monitoring [watching your visitors, performance, communities & competitors] Alistair Croll and Sean Power
title_short	Complete Web Monitoring
title_sort	complete web monitoring watching your visitors performance communities competitors
title_sub	[watching your visitors, performance, communities & competitors]
topic	Monitoring Informatik (DE-588)4522632-5 gnd Website (DE-588)4596172-4 gnd
topic_facet	Monitoring Informatik Website
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work_keys_str_mv	AT crollalistair completewebmonitoringwatchingyourvisitorsperformancecommunitiescompetitors AT powersean completewebmonitoringwatchingyourvisitorsperformancecommunitiescompetitors

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